| 2,506 |
Lero: A Learning-to-Rank Query Optimizer |
2023 |
VLDB |
8.5603022e-05 |
| 3,108 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
7.8122622e-05 |
| 3,475 |
Robust Query Driven Cardinality Estimation under Changing Workloads |
2023 |
VLDB |
7.4606119e-05 |
| 3,954 |
Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules |
2023 |
VLDB |
7.0656166e-05 |
| 4,507 |
LEON: A New Framework for ML-Aided Query Optimization |
2023 |
VLDB |
6.723287e-05 |
| 4,555 |
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads |
2024 |
VLDB |
6.6989559e-05 |
| 4,581 |
Kepler: Robust Learning for Faster Parametric Query Optimization |
2023 |
SIGMOD |
6.6913226e-05 |
| 4,986 |
Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server |
2023 |
VLDB |
6.4810456e-05 |
| 5,096 |
LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning |
2022 |
SIGMOD |
6.4311239e-05 |
| 5,206 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
6.3868465e-05 |
| 5,477 |
SafeBound: A Practical System for Generating Cardinality Bounds |
2023 |
SIGMOD |
6.2718956e-05 |
| 5,503 |
Eraser: Eliminating Performance Regression on Learned Query Optimizer |
2024 |
VLDB |
6.2627904e-05 |
| 5,640 |
Sample-Efficient Cardinality Estimation Using Geometric Deep Learning |
2024 |
VLDB |
6.2029974e-05 |
| 5,696 |
A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies |
2024 |
VLDB |
6.1834438e-05 |
| 6,258 |
Breaking It Down: An In-depth Study of Index Advisors |
2024 |
VLDB |
5.9996908e-05 |
| 6,284 |
A Unified Transferable Model for ML-Enhanced DBMS |
2022 |
CIDR |
5.9902184e-05 |
| 6,373 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
5.9616981e-05 |
| 6,433 |
Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective |
2024 |
VLDB |
5.9423732e-05 |
| 6,594 |
ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation |
2024 |
SIGMOD |
5.8870191e-05 |
| 6,648 |
LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries |
2024 |
SIGMOD |
5.8722385e-05 |
| 6,698 |
Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation |
2023 |
SIGMOD |
5.8569921e-05 |
| 6,743 |
LpBound: Pessimistic Cardinality Estimation using ℓp-Norms of Degree Sequences |
2025 |
SIGMOD |
5.8435982e-05 |
| 7,304 |
Join Size Bounds using l_p-Norms on Degree Sequences |
2024 |
PODS |
5.705774e-05 |
| 7,371 |
Disclosure-Compliant Query Answering |
2024 |
SIGMOD |
5.6897772e-05 |
| 7,579 |
SQLStorm: Taking Database Benchmarking into the LLM Era |
2025 |
VLDB |
5.6492649e-05 |
| 7,632 |
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD |
2024 |
VLDB |
5.6369542e-05 |
| 7,681 |
Instance-Optimal Acyclic Join Processing Without Regret: Engineering the Yannakakis Algorithm in Column Stores |
2025 |
VLDB |
5.6252996e-05 |
| 8,182 |
PARQO: Penalty-Aware Robust Plan Selection in Query Optimization |
2024 |
VLDB |
5.5385661e-05 |
| 8,490 |
Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries |
2024 |
SIGMOD |
5.4868152e-05 |
| 8,723 |
ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation |
2024 |
SIGMOD |
5.4407297e-05 |
| 9,113 |
PACE: Poisoning Attacks on Learned Cardinality Estimation |
2024 |
SIGMOD |
5.3795816e-05 |
| 9,579 |
Approximate Sketches |
2024 |
SIGMOD |
5.3118431e-05 |
| 9,649 |
Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes |
2023 |
SIGMOD |
5.3001368e-05 |
| 9,715 |
SPACE: Cardinality Estimation for Path Queries Using Cardinality-Aware Sequence-based Learning |
2025 |
SIGMOD |
5.2849709e-05 |
| 9,734 |
Still Asking: How Good Are Query Optimizers, Really? |
2025 |
VLDB |
5.2802856e-05 |
| 9,808 |
A Practical Theory of Generalization in Selectivity Learning |
2025 |
VLDB |
5.2683122e-05 |
| 9,819 |
Athena: An Effective Learning-based Framework for Query Optimizer Performance Improvement |
2025 |
SIGMOD |
5.2648912e-05 |
| 9,843 |
Path-centric Cardinality Estimation for Subgraph Matching |
2025 |
VLDB |
5.2617062e-05 |
| 9,873 |
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation |
2025 |
VLDB |
5.2547389e-05 |
| 9,927 |
VIDEX: A Disaggregated and Extensible Virtual Index for the Cloud and AI Era |
2025 |
VLDB |
5.2388391e-05 |
| 9,930 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
5.2386374e-05 |
| 9,959 |
An Elephant Under The Microscope: Analyzing The Interaction Of Optimizer Components In PostgreSQL |
2025 |
SIGMOD |
5.2142386e-05 |
| 10,047 |
AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,050 |
APQO: An Adaptive Framework for Parametric Query Optimization |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,125 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,129 |
WoW: A Window-to-Window Incremental Index for Range-Filtering Approximate Nearest Neighbor Search |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,149 |
CorrBound: Cardinality Estimation Accounting for Inter- and Intra-relation Correlations |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,156 |
Divo: Learning a Stable and Effective Query Optimizer with a Diverse Workload |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,203 |
Reqo: A Comprehensive Learning-Based Cost Model for Robust and Explainable Query Optimization |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,216 |
The Case For Language Model Approximated LIKE Predicate |
2026 |
SIGMOD |
5.1725247e-05 |